Study of photodegradation kinetics of aflatoxins in cereals using trilinear component modeling of excitation-emission matrix fluorescence data

文献类型： 外文期刊

第一作者： Liu, Zhi

作者： Liu, Zhi;Qiu, Jing;Liu, Zhi;Zhao, Huiyu;Yang, Guilin;He, Kaiyu;Wang, Ziyan;Wang, Dou;Sun, Xiaodong

作者机构：

关键词： Aflatoxins; Photodegradation kinetics; Excitation-emission matrix (EEM) fluorescence; ATLD; Second-order advantage

期刊名称：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY （ 影响因子：4.098； 五年影响因子：3.464 ）

ISSN： 1386-1425

年卷期： 2020 年 235 卷

页码：

收录情况： SCI

摘要： In this work, a smart analytical strategy that combines excitation-emission matrix (EEM) fluorescence detection with alternating trilinear decomposition (ATLD) algorithm was developed for fast, on-line and interference-free study on the photodegradation kinetics of aflatoxin B-1 (AFB(1)) and aflatoxin G(1) (AFG(1)) in rice and wheat under UV-Vis light (lambda = 250-500 nm) treatment. With the aid of prominent "second-order advantage" of ATLD method, pure fluorescence signals of two targeted analytes can be directly resolved out from heavily overlapping spectral environment and accurately quantified even in the presence of unknown matrix interferences. Cereal samples in kinetic processing of photodegradation were detected without complex pretreatment steps except for a simple extraction usingmethanol/water solution (4:1, v/v), which solves the problem facing varied matrix interferences in the case of on-line monitoring of aflatoxins. The kinetic signals of analytes of interest were directly extracted regardless of varied matrix backgrounds of various cereals. The kinetic curves and degradation speeds of AFB(1) and AFG(1) can be estimated by resolved quantitative data, optimal radiation conditions including 365 nm wavelength and 35 J m(-2) density were discussed for high-efficiency detoxification control of aflatoxins in rice and wheat. This strategy was promising to be as an alternative tool for eco-friendly photodegradation kinetic study of mycotoxins or other hazards in complex foodstuff matrixes. (C) 2020 Published by Elsevier B.V.

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